6 days ago · DeepSeek’s AI makes use of mixture-of-experts, as do several other high-profile LLMs such as Mixtral by Mistral, NLLB MoE by Meta, and others. No one can say for sure whether MoE is the best or ...

Dec 13, 2024 · We present DeepSeek-VL2, an advanced series of large Mixture-of-Experts (MoE) Vision-Language Models that significantly improves upon its predecessor, DeepSeek-VL, through two key major upgrades.

Jan 11, 2024 · It involves two principal strategies: (1) finely segmenting the experts into mN ones and activating mK from them, allowing for a more flexible combination of activated experts; (2) isolating Ks experts as shared ones, aiming at capturing common knowledge and mitigating redundancy in routed experts.

DeepSeek-R1, introduced in January 2025 by the Chinese AI startup DeepSeek, exemplifies these principles through its innovative Mixture-of-Experts (MoE) architecture. This article delves into the intricacies of DeepSeek-R1's MoE design, exploring its structure, advantages, and the broader implications for AI development.

Dec 13, 2024 · Introducing DeepSeek-VL2, an advanced series of large Mixture-of-Experts (MoE) Vision-Language Models that significantly improves upon its predecessor, DeepSeek-VL. DeepSeek-VL2 demonstrates superior capabilities across various tasks, including but not limited to visual question answering, optical character recognition, document/table/chart ...

2 days ago · DeepSeek-Coder-V2. Released in July 2024, this is a 236 billion-parameter model offering a context window of 128,000 tokens, designed for complex coding challenges. DeepSeek-V3. Released in December 2024, DeepSeek-V3 uses a mixture-of-experts architecture, capable of handling a range of tasks. The model has 671 billion parameters with a context ...

Jan 28, 2025 · DeepSeek made quite a splash in the AI industry by training its Mixture-of-Experts (MoE) language model with 671 billion parameters using a cluster featuring 2,048 Nvidia H800 GPUs in about two ...

Dec 27, 2024 · The Mixture of Experts technique incorporates multiple specialized models called “experts,” each with distinct domain expertise. Based on the input query or prompt, the system communicates with the most suitable model to deliver optimal results. This provides the user with the best possible result. More energy efficient

Jan 22, 2025 · DeepSeek uses a Mixture-of-Experts (MoE) system, which activates only the necessary neural networks for specific tasks. Despite its massive scale of 671 billion parameters, it operates with just 37 billion parameters during actual tasks [2]. This selective activation offers two key advantages:

Jan 29, 2025 · DeepSeek works in a different way as compared to models like GPT-4.0 that we commonly use. This way of working is not new and was discussed in a paper published in 2017 written by Geoffrey Hinton...